Research & Experimentation Scientist
San Francisco, California
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Research & Experimentation Scientist (Swish Analytics Inc. - San Francisco, CA):
Research & Experimentation Scientist (Swish Analytics Inc. - San Francisco, CA):
- Accelerate progress on our sports betting algorithms and models for increased accuracy and state of the art performance.
- Experiment with new ideas to create new tools, new feature sets, and reduce latency.
- Examine the integration and scaling of our real world operations, simulations, experiments, and demonstrations.
- Perform Python and Rust development using various machine learning and data science frameworks.
- Provide risk management guidance on methods for assessing and mitigating risk.
- Apply modern approaches to artificial intelligence and keep up to date with new approaches to inferential statistics, sampling, and experimental design.
- Develop or recommend analytic approaches or solutions to problems and situations for which information is incomplete or for which no precedent exists.
- Apply large scale data processing techniques to develop scalable advanced analytics including data mining and anomaly detection.
- Adhere to software engineering best practices and contribute to shared code repositories.
- 4 years experience developing decision-tree and neural-net based machine learning models to resolve modeling problems across major professional sports leagues, professional tennis, college basketball, or college football.
- 4 years experience utilizing Probability Theory, Machine Learning, Inferential Statistics, Bayesian Statistics, Markov Chain Monte Carlo methods to build models and distributions.
- 4 years experience architecting and developing simulation based production grade software and designing distributed deployment systems to deploy software across Kubernetes clusters.
- 4 years experience developing runtime-efficient production grade for solutions for various problems, including data storage (AWS EFS) and cache-based data-lookup (ElasticCache, LMDB).
- 4 years experience utilizing relational SQL, Python, Airflow, Kubernetes and familiarity with monitoring tools such as DataDog.
- 4 years experience utilizing source control tools such as GitHub and related CI/CD processes.
- 4 years experience integrating various AWS products such as EFS, Elastic Cache, Athena, S3 and EKS into software applications.
Created: 2024-06-30
Reference: 2085225
Country: United States
State: California
City: San Francisco
ZIP: 94130
About AEG
Founded in: 1994
Number of Employees: 28000
Website: https://www.aegworldwide.com/
Career site: https://www.aegworldwide.com/careers
LinkedIn: https://www.linkedin.com/company/aeg
Facebook: https://www.facebook.com/AEGWorldwide/
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